An adaptive permutation test procedure for several common tests of significance.

DOI10.1016/S0167-9473(00)00011-6zbMath1080.62518WikidataQ127754166 ScholiaQ127754166MaRDI QIDQ5940796

Thomas W. O'Gorman

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Adaptive methodsRobust methodsWeighted least squares

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Monte Carlo methods (65C05)

Related Items (4)

Smoothed ranks for two or multi-sample location problems ⋮ An adaptive test of a subset of regression coefficients using permutations of residuals ⋮ Max-type rank tests, \(U\)-tests, and adaptive tests for the two-sample location problem -- an asymptotic power study ⋮ Asymptotic inference under heteroskedasticity of unknown form

Uses Software

• bootlib

Cites Work

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• Adaptive \(L\)-estimation for linear models
• Randomization tests for multiple regression
• A review of some adaptive statistical techniques
• On Adaptive M-Regression
• A Two-Sample Adaptive Distribution-Free Test
• A Probability Distribution and Its Uses in Fitting Data
• An adaptive two-sample test based on modified wilcoxon scores
• An adaptive test for the one‐way layout
• A comparison of an adaptive two-sample test to the t-test and the rank-sum test
• Percentile Modifications of Two Sample Rank Tests

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